Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Jika Anda mengalami masalah saat menggunakan Vector Search, ada
dua cara untuk mendapatkan dukungan. Dalam kedua kasus tersebut, sertakan detail berikut dalam
komunikasi Anda:
Perintah atau kode yang Anda jalankan dan memicu masalah.
Lingkungan tempat Anda menjalankan perintah atau kode. Misalnya,
apakah Anda menjalankannya di instance Compute Engine atau di komputer lokal?
Perilaku yang Anda amati dan perbedaannya dengan apa yang Anda harapkan.
Membuat tiket Cloud Customer Care
Jika memiliki paket Layanan Pelanggan, Anda dapat mengajukan tiket dukungan. Untuk
mengetahui informasi tentang cara mendapatkan paket Cloud Customer Care, lihat
Layanan Pelanggan.
Di kolom Deskripsi, berikan informasi yang diminta dan
jawab pertanyaannya. Pastikan untuk menyertakan detail
yang relevan, seperti ID project / indeks / operasi, pesan error, dll.
Klik Submit.
Tanyakan ke komunitas
Atau, Anda bisa mendapatkan dukungan melalui salah satu saluran publik berikut.
Untuk pertanyaan terkait SDK klien, ajukan masalah di GitHub.
Untuk pertanyaan dukungan lainnya, posting pertanyaan tersebut ke tag google-cloud-vertex-ai di Stack Overflow.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-08-19 UTC."],[],[],null,["# Get support\n\nIf you encounter a problem using Vector Search, there\nare two ways to get support. In either case, include the following details in\nyour communication:\n\n- The command or code you ran that triggered the problem.\n- The environment in which you ran the command or code. For example, did you run it in a Compute Engine instance or in an on-premises computer?\n- The behavior you observed and how it differs from what you expected.\n\nCreate a Cloud Customer Care ticket\n-----------------------------------\n\nIf you have a Customer Care package, you can file a support ticket. For\ninformation about getting a Cloud Customer Care package, see\n[Customer Care](/support).\n\n1. In the Google Cloud console, navigate to the **Cases** page.\n\n [Go to Cases](https://console.cloud.google.com/support/cases)\n2. Click **Create case**.\n\n - In the **Title** field, type `Vector Search`.\n - In the **Category** field, select **Machine Learning**.\n - In the **Component** field, select **Vector Search**.\n - In the **Description** field, provide the requested information and respond to the questions. Be sure to include relevant details, such as project / index / operation ID, error messages etc.\n - Click **Submit**.\n\nAsk the community\n-----------------\n\nAlternatively, you can get support using one of the following public channels.\n\n- For client SDK related questions, file an issue on [GitHub](https://github.com/GoogleCloudPlatform/vertex-ai-samples/issues).\n- For other support questions, post them to the [google-cloud-vertex-ai](https://stackoverflow.com/questions/tagged/google-cloud-vertex-ai) tag in Stack Overflow."]]
